Bibliographic record
Abstract
The Special Theory of Relativity applies where gravitation is insignificant. There are many observations that remain poorly explained by the standard models of either the big of cosmology or the small of Quantum mechanics. The strength of the Scalar Theory Of Everything (STOE) is its ability to describe an extremely wide range of observations and to predict observations. Each of the STOE axioms has been used in the development of models of observations in the big and the small. The axioms that replace Special Relativity are: (1) Time is an abstraction of the duration between events causing events. (2) The diameter of the hods is the same throughout the universe. (3) The distance between hods is related to plenum density. Higher reduces the distance between hods. (4) The speed of photons and hods (light) is the greatest of any matter in a given environment. (5) The speed of the plenum wave is much faster than the speed of the hods. The STOE passes the tests of Special Relativity and does much more. The STOE is a major paradigm shift.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.005 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".